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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Statistical Methods and Modeling | ||
| Topic 2: Exploratory Data Analysis | ||
| Topic 3: Data Visualization and Communication | ||
| Topic 4: SQL and Data Management | ||
| Topic 5: Data Acquisition and Pre-Processing | 29.2% |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which two benefits are most closely associated with using object-oriented programming (OOP) in data analysis pipelines?
(Choose two)
A) Enables procedural programming only through decorators
B) Supports clearer abstraction by modeling real-world entities
C) Encourages code reuse through inheritance and modularity
D) Allows the use of lambda for procedural logic
2. Which characteristics are commonly associated with cloud-based data storage solutions?
A) Elastic scalability
B) Requires dedicated local hardware
C) High availability and redundancy
D) Physical proximity to user machines
3. Which technique is considered a primary defense against SQL injection when executing database queries from Python?
A) Using parameterized queries
B) Closing the database cursor after each query
C) Escaping quotes manually in SQL strings
D) Encrypting the database connection
4. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
A) suffixes
B) on
C) ignore_index
D) dropna
5. Which of the following is the most suitable data structure in Python for representing a tabular row with column names?
A) dictionary
B) tuple
C) list
D) set
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A,B | Question # 5 Answer: A |
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